LSST Algorithms Workshop -- UPDATED ANNOUNCEMENT

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(Leanne Guy) #1

We previously announced that the LSST Algorithms Workshop would be held 3-5 December 2019 at SLAC. We are delighted to have received strong interest in this workshop from both across the LSST project and the community. As ideas for this workshop matured however, we realised we needed more time to fully develop the workshop plan. Consequently, we have decided to move this workshop to Spring 2020, to be held at either Princeton or SLAC. We apologise for any inconvenience. Precise dates and venue will be announced shortly.

DATES: Spring 2020
LOCATION: Either Princeton, NJ or SLAC, CA, USA
WEBSITE: ls.st/law

The LSST Project will host a workshop on the topic of image processing and algorithms for LSST. The aim of this workshop is to provide a forum for the presentation of the algorithmic challenges faced by LSST, and to solicit feedback and ideas as to how these algorithms can best meet scientific needs of the community. Topics of discussion will include (but are not necessarily limited to): Calibration, Point Spread Function Estimation, Galaxy Photometry, Deblending & Crowded Fields, and Image Differencing. The workshop will include a combination of presentations from the Project on the current status of LSST algorithms and pipelines, with un-conference sessions scheduled to encourage open discussion. (edited)


(Leanne Guy) #2

SAVE THE DATE — LSST Algorithms Workshop

We are pleased to announce the new confirmed dates and venue for the LSST Algorithms Workshop.
DATE: 17-19 March 2020
LOCATION: Princeton, NJ, USA
WEBSITE: ls.st/law

The LSST Project will host a workshop on the topic of image processing and algorithms for LSST. The aim of this workshop is to provide a forum for the presentation of the algorithmic challenges faced by LSST, and to solicit feedback and ideas as to how these algorithms can best meet scientific needs of the community. Topics of discussion will include (but are not necessarily limited to): Calibration, Point Spread Function Estimation, Galaxy Photometry, Deblending & Crowded Fields, and Image Differencing. The workshop will include a combination of presentations from the Project and invited speakers on the current status of LSST algorithms and pipelines, with un-conference sessions scheduled to encourage open discussion.

Registration will be opening soon . Given the specific aims of the workshop, we anticipate the number of participants to be ~50.